Overview

Why Data Science, Analytics and Engineering (Bayesian Machine Learning) at Arizona State University?

Arizona State University (ASU) is renowned for its innovative approach to education, consistently ranking among the top universities in the United States. The programme is uniquely positioned through its partnership with the School of Mathematical and Statistical Sciences, which enhances students' understanding of the statistical foundations essential for advanced data science applications. ASU's commitment to research and practical learning is reflected in the state-of-the-art facilities available to students, fostering an environment where theoretical knowledge meets real-world application.

Tuition Fee Breakdown

- Domestic Fee: USD 26,496 per year - International Fee: USD 28,890 per year - Local Fee: USD 12,562 per year Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the MS in Data Science, Analytics and Engineering (Bayesian Machine Learning) comprises core courses, concentration areas, and electives, structured as follows:

Required Core (9 credit hours):
- Statistics for Data Analysts
- Probability and Random Processes
- Theory of Statistics I: Distribution Theory
- Intermediate Statistics for Human Systems Engineering
- Data Processing at Scale
- Distributed Database Systems
- Advanced Database Management Systems
- Data Mining
- Statistical Machine Learning
- Analyzing Big Data
- Applied Machine Learning for Mechanical Engineers
Concentration (9 credit hours):
- Theory of Statistics
- Bayesian Statistics
- Computational Statistics
- Time Series Analysis
Electives (6 or 9 credit hours)
Culminating Experience (3 or 6 credit hours):
- Data Science Capstone
- Thesis

Industry Demand

The demand for professionals skilled in data science, particularly those with expertise in Bayesian machine learning, is rapidly increasing. Industries such as finance, healthcare, and technology are actively seeking individuals who can interpret and manage complex data sets, making this programme highly relevant in today's job market.

Guaranteed Work Experience

This programme does not explicitly guarantee work experience; however, it prepares students for practical applications in various fields through its comprehensive curriculum.

Careers with Data Science, Analytics and Engineering (Bayesian Machine Learning)

Graduates of this programme are well-equipped to pursue careers as statisticians, data scientists, and analysts across diverse sectors. They often find employment in financial markets, healthcare institutions, governmental agencies, and technology firms, contributing to data-driven decision-making and strategic planning. Specific companies and organisations that hire alumni include the National Institutes of Health, the Centers for Disease Control and Prevention, and various leading financial and technological enterprises.

Programme Structure

Courses include:

Database Management System Implementation

Distributed Database Systems

Data Mining

Statistical Learning for Data Mining

Multimedia and Web Databases

Statistical Machine Learning

Data Visualization

Semantic Web Mining

Virtualization and Cloud Computing

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-11 00:00:00
- Apply before 2026-07-31 00:00:00
Starting 2027-08-20 00:00:00
- Apply before 2026-12-31 00:00:00

More details

Priority deadlines.

Language

English

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IELTS

6.5

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Credits

30 SCH

Delivered

On Campus

Campus Location

Tempe, United States

Disciplines

Data Science & Big Data Machine Learning View 461 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

English requirements

Duolingo English Test

105

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree from a regionally accredited institution.
Applicants must have a minimum cumulative GPA of 3.25 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.25 (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

graduate admission application and application fee
official transcripts
official GRE test scores
three letters of recommendation
statement of purpose
proof of English proficiency

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

30348 USD / year

≈ 30348 USD / year
Out-of-State

27810 USD / year

≈ 27810 USD / year
Domestic

Applies to you

In-State

12940 USD / year

≈ 12940 USD / year

Living costs

Tempe

United States

900 - 1350 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science, Analytics and Engineering (Bayesian Machine Learning).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Tempe

Financing

Funding

Scholarships Information

Available Scholarships

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